Our Mission
Saving Lives Through
Intelligent Response
We are solving the critical bottleneck of emergency dispatch: Human Bandwidth.. By offloading initial triage to a locally-hosted AI, we ensure that no call goes unanswered during mass-casualty events.
Meet the Team
Abdullah Shaikh
Team Lead & AI Engineer
Led the project and developed the local AI pipelines, specializing in acoustic emotion recognition and LLM quantization.
Muhammad Baqar
Frontend Developer
Crafted the responsive, high-performance dashboard UI with real-time WebSocket visualization.
Syed Murtaza Hassan
Backend Architect
Designed the core asynchronous server architecture and orchestrated the full-stack integration.
Tahir Mehdi
Database Engineer
Managed data persistence, schema design, and local deployment infrastructure.
Technical Architecture
Frontend
- Next.js 14 (App Router)
- Tailwind CSS
- Lucide Icons
- Radix UI Primitives
Backend
- Python FastAPI (ASGI)
- WebSockets (Real-time)
- SQLite / SQLAlchemy
- AsyncIO
Local AI (On-Prem)
- Llama 3.2 3B (via Ollama)
- Faster-Whisper (STT)
- OpenSMILE + BERT (Emotion)
- Piper (TTS)